Machine Learning Engineering Intern

UL Solutions’ AI Lab develops Artificial Intelligence-powered components and APIs for the company’s software products and services. 

• Drive own work in a team data science project end-to-end: from data analysis to model training and microservice deployment
• Write clean and maintainable Python code
• Test software and fix bugs
• Participate in code reviews
• Conduct additional data science tasks as required, including but not limited to training data expansion, coordinating data annotation with our annotation vendor, training and deploying models

• Student of Computer Science, Data Science, Computational Linguistics or a related field
• Strong Python coding skills
• Understanding of NLP advanced techniques for text classification, entity recognition and/or text summarization
• Interest and/or experience on neural methods of NLP, including word embeddings
• Interest in design software architecture
• Ability to write robust and testable code
• An analytical mind with problem-solving abilities
• Excellent communication and teamwork skills
• A strong desire to learn new Machine Learning algorithms and approaches
• A passion for learning how to take experimental code to the next level and turn it into efficient and elegant production code

Desirable Skills:

• Experience with code version control tools like git, github, etc.
• Experience with deep learning and machine learning frameworks (like Pytorch, TensorFlow or Keras) and libraries (like Scikit-learn, Spacy, etc.)
• Ability to write high quality production code, including unit test cases
• Demonstrated effective interpersonal, influencing, collaboration and listening skills
• Experience of working in an Agile environment & Agile Project Management
• Experience in Azure (or another cloud-based platform), Docker, Kubernetes, etc.